Patient onboarding · Production

North Kansas City Hospital achieves 99.3% patient satisfaction with Notable Intelligent Scheduling for digital registration and care gap outreach

The problem

NKCH found it difficult to proactively identify and screen patients based on risk factors in real time, and EHRs were not set up to automatically reconcile data or close care gaps—particularly when patients received care outside their primary care provider. Communicating current eligibility guidelines to specific patient cohorts during the COVID-19 vaccination rollout compounded the challenge.

Workflow diagram · grounded in source
1
AI patient-provider matching
ai_action
“By leveraging AI to match each patient with the correct provider, Intelligent Scheduling has increased provider adoption of online scheduling”
2
Online appointment scheduling
output
“scheduling 80,000 appointments within three weeks of deployment”
3
Digitized registration and care gap outreach
output
“deliver a fully digitized, automated registration experience, along with care gap outreach”
Reported outcome

NKCH achieved 99.3% patient satisfaction and scheduled 80,000 appointments within three weeks of deployment, with increased provider adoption of online scheduling and plans to expand Intelligent Scheduling across primary and specialty care areas.

Reported metrics
Patient satisfaction99.3%
Appointments scheduled within three weeks of deployment80,000
Provider adoption of online schedulingincreased
No-show ratedecrease in no-show rate
Reported stack
NotableIntelligent Scheduling
Source
https://www.notablehealth.com/customer-stories/north-kansas-city-hospital-improves-digital-patient-registration
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

NKCH achieved 99.3% patient satisfaction and scheduled 80,000 appointments within three weeks of deployment, with increased provider adoption of online scheduling and plans to expand Intelligent Scheduling across prim…

What tools did this team use?

Notable, Intelligent Scheduling.

What results were reported?

Patient satisfaction: 99.3%; Appointments scheduled within three weeks of deployment: 80,000; Provider adoption of online scheduling: increased; No-show rate: decrease in no-show rate (source-reported, not independently verified).

How is this patient onboarding AI workflow structured?

AI patient-provider matching → Online appointment scheduling → Digitized registration and care gap outreach.